Semantic Slicing across the Distributed Intelligent 6G Wireless Networks
Lauri Lovén, Hafiz Faheem Shahid, Le Ngu Nguyen, Erkki Harjula, Olli Sílven, Susanna Pirttikangas, Miguel Bordallo López
Abstract
In the age of the Internet of Things (IoT) and the expanding computing continuum, it’s crucial to manage and share resources at the edges of networks. This position paper presents a new concept known as ’semantic slicing’. This approach harnesses the power of artificial intelligence (AI), wireless networks, edge computing, and sensing technologies to enable novel applications, optimize resource allocation, and streamline data processing and decision-making across complex systems spanning the computing continuum. Semantic slicing applies a deep understanding of the data and specific application requirements to intelligently allocate resources and distribute processing tasks in the computing continuum. This strategy allows for the creation of systems that are not only more efficient and responsive, but also better equipped to adapt to a variety of applications and services.